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Liliannatt/README.md

Hi there 👋 I'm Tingting!

🎓 Master’s Student in Computer Science and Engineering, Specializing in Interaction Media Technology @ KTH Royal Institute of Technology

💡 Currently: Interning as a Computer Vision & Machine Learning engineer in Manomontion

📍 Seeking: Any opportunities in AI & Social Robotics

🚀 About Me

🚀 I’m passionate about developing innovative and multimodal interactive robotic solutions to help people live happier and healthier lives.

💡 I have hands-on experience in deep learning, machine learning, and robotics, applying computer vision and NLP techniques to enhance human-robot collaboration.

🎓 I code in Python, C++, JavaScript, C#, and Cuda, and constantly learn new technologies to expand my skills.

🤔 I’m particularly interested in:

  🤖 Robotics

  📸 Computer Vision

  🧠 Perception learning

  🛠️ Reinforcement learning

  💻 Artificial Intelligence

  🔬 RLHF

📚 Currently learning more about reinforcement learning from human feedback to develop robot navigation algorithms.

🔗 Let's connect, collaborate, and build something meaningful together!

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  1. Multimodal-Career-Coach-Robot Multimodal-Career-Coach-Robot Public

    A Conversational Robotic Job Coach Powered by LLM and Multimodal Emotion Analysis

    Kotlin

  2. Image-Recognition-and-Classification Image-Recognition-and-Classification Public

    Designed a visual search system capable of recognizing buildings from query images. Built and optimized a CNN for animal image classification using the CIFAR-10 dataset.

    Python

  3. Semi-supervised-learning-with-Teacher-Student-technique Semi-supervised-learning-with-Teacher-Student-technique Public

    Developed a semi-supervised learning framework with Teacher-Student Technique to reduce reliance on extensive labeled data in ASR systems.

    Python

  4. Speech-and-speaker-recognition Speech-and-speaker-recognition Public

    Developed End-to-End Speech Recognition System leveraging deep learning techniques.

    Jupyter Notebook

  5. VR-Eye-Gaze-Tracking-Study VR-Eye-Gaze-Tracking-Study Public

    This project designed and tested an eye tracking system to assess the human target-locking behaviour in simple vs. complex environments.

    C#

  6. llm.c llm.c Public

    Forked from heyjiacheng/llm.c

    LLM training in simple, raw C/CUDA

    Cuda 1